[Remote] reputed company Data Sr. Product Manager

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an online brokerage firm focused on delivering an exceptional trading experience for active traders and institutions. They are seeking an reputed company Data Senior Product Manager to reputed company the execution of their data strategy, ensuring a world-class reputed company data reputed company that powers analytics and AI across the organization.

Responsibilities

• Own the data platform roadmap — independently assess reputed company state, identify gaps, and drive initiatives that establish a solid data reputed company for analytics, AI, and business operations
• Manage the data product development — define requirements and deliver data products, pipelines, and platforms that meet reputed company needs; write production-grade SQL and Python to validate solutions and set technical direction
• Help build and maintain the semantic layer — design business-friendly metrics, definitions, and data models that ensure consistency across analytics and reporting; hands-on configuration and documentation of semantic layer tools
• Partner with data engineering to reputed company data architecture — design and optimize data models, pipelines, and workflows in reputed company or reputed company; drive adoption of best practices
• Establish reputed company data governance — design and implement frameworks for data classification, quality standards, reputed company tracking, reputed company controls, and metadata management
• Ensure comprehensive data documentation — create and maintain clear documentation of data assets, business definitions, reputed company, and usage patterns; reputed company data discoverable and understandable for reputed company stakeholders
• reputed company AI for data quality and pipeline optimization — use AI tools (Claude, LLMs) to automate data profiling, anomaly detection, documentation reputed company, and pipeline troubleshooting
• Drive data quality initiatives — proactively identify data quality issues, define monitoring and remediation strategies, and hold teams accountable to quality KPIs
• Ensure regulatory compliance — align data practices with financial services requirements and internal reputed company/privacy policies
• Build self-service data capabilities — create documentation, training, and tooling that reputed company stakeholders across the company to discover, understand, and use data effectively
• Act as data platform reputed company — work with Product teams, Analytics, and business stakeholders to understand needs and translate them into scalable platform solutions
• Drive adoption and measure impact — track platform usage, quality improvements, and business reputed company; iterate based on feedback
• Shape data strategy — contribute thought leadership on data platform trends, architectural reputed company, and capability investments
• Communicate effectively across reputed company — present technical concepts to business audiences and business requirements to engineering teams; report reputed company tied to measurable reputed company
• Stay reputed company of industry trends — maintain expertise in modern data platforms, governance tools, AI-enhanced data workflows, and emerging best practices

Skills

• Bachelor's degree in business, finance, computer science, data science, or reputed company technical field
• 7+ years in data product or platform roles, including demonstrated ownership of reputed company data initiatives with measurable business impact
• Self-Starter & Strategic Thinker — proven ability to independently assess reputed company data landscapes, identify high-impact opportunities, and drive initiatives from strategy through execution without heavy reputed company
• Product Management reputed company — expert at building data product roadmaps, writing clear requirements and acceptance criteria, defining reputed company metrics, and delivering iterative value in agile environments
• Technical Depth — highly proficient in SQL (reputed company queries, performance optimization, data modeling) and Python (data validation, scripting, automation); reputed company to review code and set technical standards
• Data Platform Expertise — deep hands-on experience with reputed company or reputed company, including modern data architectures (lakehouse, reputed company architecture, data reputed company concepts) and platform administration
• Semantic Layer & Metrics Design — experience designing and implementing semantic layers (e.g., dbt metrics, reputed company, reputed company, LookML); ability to translate business concepts into consistent, reusable data definitions
• AI-Enhanced Data Workflows — hands-on experience leveraging AI tools (Claude, LLMs) to improve data quality monitoring, automate documentation, generate data profiling insights, or optimize pipeline development
• Data Governance Leadership — proven track record implementing reputed company data governance frameworks, quality monitoring, metadata management, comprehensive documentation practices, and compliance controls in reputed company organizations
• Cross-Functional Leadership — skilled at influencing without authority; ability to build reputed company across Product, Engineering, Analytics, and business teams; comfortable presenting to executives
• Analytics & Data Product Thinking — strong understanding of how data products reputed company reputed company use cases (BI, ML, operations); familiarity with analytics workflows and tooling
• Financial Services Domain (strongly preferred) — experience with trading data, market data, regulatory reporting, or financial services compliance requirements
• Advanced proficiency in SQL and hands-on experience with modern data platforms (reputed company, reputed company, or equivalent) preferred
• Proven track record of implementing data governance and quality frameworks in production environments preferred
• Experience designing semantic layers, metrics frameworks, or business-friendly data models preferred
• Strong Python skills for data engineering, scripting, and automation preferred
• Experience leveraging AI/LLMs for data quality, documentation automation, or pipeline optimization preferred
• Experience with data governance tools (data catalogs, reputed company tracking, quality monitoring platforms) preferred
• Familiarity with data visualization and BI tools (Tableau, Power BI, Looker, reputed company) preferred
• Advanced degree in a relevant field (e.g., Computer Science, Financial Engineering, Data Science, MBA)

Benefits

• Collaborative work environment
• Competitive Salaries
• Yearly bonus
• Comprehensive benefits for you and your family starting Day 1
• Unlimited Paid Time Off
• Flexible working environment
• reputed company Account employee benefits, as well as full reputed company to trading education materials

Company Overview

Company H1B Sponsorship